Compare NVIDIA virtual GPU vs. RAVEL Orchestrate in 2026

RAVEL Orchestrate

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Description

NVIDIA's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.

Description

We partnered with Supermicro to showcase a first of its kind generative AI + design workspace for on-prem teams and remote teams, running on Supermicro’s new liquid-cooled AI Super Workstation, all managed via RAVEL Orchestrate™. This complete solution is available to partners and clients. Easy deployment and management of custom virtual workstations. Create customized virtual workstation images to meet the needs of your team. You don't need to be a virtualization or cloud guru to deploy your customized remote workstations. RAVEL Orchestrate has an intuitive workstation scheduler, and resource management controls that help you control costs. RAVEL Orchestrate™ is a unique solution that allows IT to create and distribute limitless custom software images to as many users, teams and regions in the cloud at scale. Deployment takes 90% less time compared to traditional imaging and deployment methods.